AI Engineer

Required Skills & Competencies

• Strong knowledge of machine learning, deep learning, and statistical modeling.
• Proficiency in programming languages (Python, R) and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud AI services (AWS SageMaker, Azure ML, Google AI Platform).
• Understanding of big data technologies and distributed computing (Spark, Hadoop).
• Knowledge of MLOps practices for model deployment and lifecycle management.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Telecom domain knowledge is an advantage.